{"id":"W3025508716","doi":"10.3390/genes11050543","title":"Weighted Gene Correlation Network Meta-Analysis Reveals Functional Candidate Genes Associated with High- and Sub-Fertile Reproductive Performance in Beef Cattle","year":2020,"lang":"en","type":"article","venue":"Genes","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biology; Gene; Candidate gene; Genetics; Single-nucleotide polymorphism; Indel; Gene regulatory network; Computational biology; Genotype; Gene expression","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001812125,0.0001906532,0.0003916468,0.00004138336,0.0001080725,0.00001740451,0.00008902331,0.0001207241,0.00005391112],"category_scores_gemma":[0.00002883362,0.000155709,0.000105753,0.0004007995,0.0000772026,0.000007704411,0.0000599806,0.00008214886,0.000003986392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001145886,"about_ca_system_score_gemma":0.00005244666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000042004,"about_ca_topic_score_gemma":0.0001927602,"domain_scores_codex":[0.9986854,0.0001135612,0.0002473908,0.000573698,0.0001502563,0.0002297253],"domain_scores_gemma":[0.9993964,0.00002150669,0.0001397824,0.00024605,0.0001120094,0.00008418293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009634724,0.0001232195,0.4575412,0.00003410878,0.03367981,0.000002603678,0.0003870956,0.4496837,0.05429345,0.0002707428,0.001267555,0.001753014],"study_design_scores_gemma":[0.0004469969,0.0003315689,0.9594194,0.000002339656,0.008334549,0.000003847655,0.00002329151,0.0005022366,0.030057,0.0001749603,0.0004291611,0.0002747002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859785,0.008387529,0.00494472,0.0002694833,0.00007665662,0.0002094306,0.00005777867,0.0000142186,0.00006167362],"genre_scores_gemma":[0.9943036,0.0001908058,0.003887395,0.0002230111,0.0002943012,0.00004994328,0.0006634154,0.00001898191,0.0003684992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5018781,"threshold_uncertainty_score":0.634963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383082749251285,"score_gpt":0.2151546301833143,"score_spread":0.1913238026908015,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}